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Govind Singh Govind Singh

Mumbai Home Tuition — 1,590 Premium Enquiries in 90 Days

Google Ads Search + Meta Ads for a Mumbai home-tuition brand — 1,590 premium enquiries in 90 days across IB/ICSE/CBSE and JEE/NEET, with no landing page changes (Oct–Dec 2025).

Premium Home Tuition Provider (Mumbai) 2025 Paid Ads Specialist

1,590 premium enquiries

690 Google Ads enquiries at ₹442 CPL

450 Meta form leads

~₹3.92L combined spend

Oct–Dec 2025

Google Ads Meta Ads Conversion Tracking Creative Testing Retargeting

Overview

Over 90 days, we scaled high-intent 1:1 home-tuition enquiries in Mumbai by combining Google Ads Search (for demand capture) with Meta Ads (for reach + retargeting). The brand targets high-paying parents seeking premium tutors for IB / ICSE / CBSE and entrance-exam prep (JEE / NEET). By tightening match types, restructuring campaigns by board / class / exam intent, and refining Meta audiences + creatives, we produced 1,590 premium enquiries while improving cost-efficiency — without making any landing page changes.

Google Ads Snapshot (Oct–Dec 2025)

  • Avg. CPC: ₹56.71
  • Conversions (Enquiries): 690
  • Cost / conv: ₹442.17
  • Total Cost: ₹305K
  • Clicks: 5,380
  • Conv. rate: 12.83%

Meta Ads delivered additional premium enquiries alongside Search.

Campaign Overview

A multi-platform performance setup for a Mumbai home-tuition provider focused on driving premium parent enquiries for 1:1 home tuition. The offer highlighted experienced home tutors, personal guidance, and a personalized learning plan for students from Class 5–12 and entrance-exam prep (JEE / NEET). Target boards included CBSE, ICSE, and IB / international boards (not state board).

Objectives

  • Increase form leads
  • Increase WhatsApp + call leads
  • Scale volume while maintaining quality

Strategy

  • Keyword & intent control (Google Search): Shifted to mostly Phrase / Exact match and aggressively expanded negative keyword lists to protect lead quality and cut waste.
  • Campaign restructure (Google Search): Rebuilt structure by board / class / exam intent to raise relevance and improve efficiency in a competitive CPC environment.
  • Premium geo targeting: Applied tighter geo / radius targeting to focus on premium Mumbai areas and reduce low-intent inquiries.
  • Ad copy improvements: Upgraded messaging to emphasize premium intent and trust — 1:1 tuition for IB / ICSE / CBSE, Class 5–12 + JEE / NEET prep, personalized learning plan, and experienced home tutors + personal guidance.
  • Bidding upgrade (Google Search): Switched from Maximize Clicks to Maximize Conversions to optimize for enquiry actions instead of traffic volume.
  • Meta audience & lead quality: Refined targeting using higher-intent signals (interest stacks + quality filters), plus ongoing creative testing to scale winners.
  • Meta creative testing system: Ran weekly new creative tests, identified top performers, and scaled them in dedicated sets for stable performance.
  • Meta retargeting: Launched a dedicated retargeting layer to capture warm users and reinforce premium positioning.

Results

  • Spend: ₹305K
  • Total enquiries (conversions): 690
  • Forms: 582
  • Calls: 70
  • Chats / conversations started: 38
  • Cost/conv: ₹442.17
  • Avg. CPC: ₹56.71
  • Clicks: 5,380
  • Conv. rate: 12.83%

Meta Ads — Oct–Dec 2025

  • Spend: ₹86,867.53
  • Form leads: 450

Meta Ads Manager — home-tuition lead campaigns delivering form leads at ₹81.79 and ₹120.78 per lead (Oct–Dec 2025)

Messaging / WhatsApp conversations were also driven and counted toward enquiry volume per the tracking setup.

Combined outcome (Google + Meta)

  • Total spend: ~₹3.92L
  • Total premium enquiries: 1,590 (Forms + Calls + WhatsApp / Chat)

Highlights

  • Reduced wasted spend by moving to phrase/exact + heavy negatives
  • Campaign rebuild by board / class / exam intent improved relevance and conversion efficiency
  • Premium-area targeting helped protect lead quality in a high-CPC market
  • Meta performance scaled through weekly creative testing + scaling winners separately
  • Added a dedicated Meta retargeting layer to convert warm audiences faster
  • Achieved scale without landing page changes — improvements came from targeting + structure + creatives
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